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Monte Carlo dosimetry using Fluka code and experimental dosimetry with Gafchromic EBT2 and XR-RV3 of self-built experimental setup for radiobiological studies with low-energy X-rays
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Number of Authors: 62020 (English)In: International Journal of Radiation Biology, ISSN 0955-3002, E-ISSN 1362-3095Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose: The aim of this research was to simulate self-built experimental setup for radiobiological research using X-ray diffraction C-tech tube and PW 3830 generator (PANalytical, Netherlands) and to calculate absorbed dose and to compare it with experimental dose measurements. The maximum X-ray energy was 60 keV.

Materials and methods: Petri dish was specially adapted to hold biological cells during the irradiation process. Rotation of Petri dish ensured radiation homogeneity and effectiveness of rotation process was confirmed using EBT2 Gafchromic film. Monte Carlo simulation using Fluka 2011 2c.4 was used to model the setup and to calculate dose absorbed by live cells. The EBT2 and XR-RV3 Gafchromic films were used to estimate relative experimental absorbed dose.

Results: The radiation homogeneity provided values with maximum deviation equal to +/- 3.5% from the average value and the absorbed dose rate was 0.9 Gy/min using simulation process and 1 Gy/min or 0.8 Gy/min using experimental methods (XR-RV3 and EBT2 Gafchromic film, respectively). All dose rate values show metrological compatibility.

Conclusions: Influence of specially constructed Petri dish on absorbed dose was determined using simulations that showed that low-energy photons, emitted as characteristic line from borosilicate glass forming component of Petri dish, were source of increase in dose absorbed by cells. This experimental setup will be used to conduct radiobiological research.

Place, publisher, year, edition, pages
2020.
Keywords [en]
Monte Carlo simulation, low-energy X-ray, radiobiological research, Petri dish, EBT2 and XR-RV3 films
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:su:diva-179516DOI: 10.1080/09553002.2020.1721606ISI: 000512788600001PubMedID: 31985345OAI: oai:DiVA.org:su-179516DiVA, id: diva2:1413029
Available from: 2020-03-09 Created: 2020-03-09 Last updated: 2020-03-09

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Czub, JoannaWołowiec, PawełWójcik, Andrzej
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Department of Molecular Biosciences, The Wenner-Gren Institute
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International Journal of Radiation Biology
Radiology, Nuclear Medicine and Medical Imaging

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